A meta-analysis of factors driving the adoption of precision agriculture Yeong Sheng TeyMark Brindal ReviewPaper 31 August 2021 Pages: 353 - 372
Correction to: A meta-analysis of factors driving the adoption of precision agriculture Yeong Sheng TeyMark Brindal Correction 13 October 2021 Pages: 373 - 376
Geographically weighted regression estimation of the linear response and plateau function Dayton M. LambertWhoi Cho OriginalPaper 07 September 2021 Pages: 377 - 399
Quantifying effect of tassels on near-ground maize canopy RGB images using deep learning segmentation algorithm Mingchao ShaoChenwei NieXiuliang Jin OriginalPaper 05 September 2021 Pages: 400 - 418
Spatial patterns of magnetic susceptibility optimized by anisotropic correction in different Alisols in southern Amazonas, Brazil Wildson Benedito Mendes BritoMilton César Costa CamposIvanildo Amorim de Oliveira OriginalPaper 28 August 2021 Pages: 419 - 449
The noise-reduction potential of Radar Vegetation Index for crop management in the Czech Republic Lukáš TůmaJitka KumhálováVladimír Krepl OriginalPaper 04 September 2021 Pages: 450 - 469
Detecting the attack of the fall armyworm (Spodoptera frugiperda) in cotton plants with machine learning and spectral measurements Ana Paula Marques RamosFelipe David Georges GomesLucas Prado Osco OriginalPaper 31 August 2021 Pages: 470 - 491
RS-Net: robust segmentation of green overlapped apples Weikuan JiaZhonghua ZhangSujuan Hou OriginalPaper 31 August 2021 Pages: 492 - 513
Segmentation and motion parameter estimation for robotic Medjoul-date thinning Tal ShoshanAvital BecharSigal Berman OriginalPaper 07 September 2021 Pages: 514 - 537
Delineating soil nutrient management zones based on optimal sampling interval in medium- and small-scale intensive farming systems Yifan YuanYuxin MiaoQiang Cao OriginalPaper 04 September 2021 Pages: 538 - 558
Fusion of the YOLOv4 network model and visual attention mechanism to detect low-quality young apples in a complex environment Mei JiangLei SongHuaibo Song OriginalPaper 12 September 2021 Pages: 559 - 577
Identifying crop yield gaps with site- and season-specific data-driven models of yield potential Patrick FilippiBrett M. WhelanThomas F. A. Bishop OriginalPaper 13 September 2021 Pages: 578 - 601
Correction to: Identifying crop yield gaps with site- and season-specific data-driven models of yield potential Patrick FilippiBrett M. WhelanThomas F. A. Bishop Correction 02 December 2021 Pages: 602 - 602
Analysis of sampling precision in low-density weed populations Pavel HamouzKateřina Hamouzová OriginalPaper 15 September 2021 Pages: 603 - 621
Using UAV-based hyperspectral imaging and functional regression to assist in predicting grain yield and related traits in wheat under heat-related stress environments for the purpose of stable yielding genotypes Lucas CostaJordan McBreenMd Ali Babar OriginalPaper Open access 18 September 2021 Pages: 622 - 642
Applying colour-based feature extraction and transfer learning to develop a high throughput inference system for potato (Solanum tuberosum L.) stems with images from unmanned aerial vehicles after canopy consolidation Joseph K. MhangoIvan G. GroveJames M. Monaghan OriginalPaper 17 September 2021 Pages: 643 - 669
German farmers’ intention to use autonomous field robots: a PLS-analysis Friedrich Rübcke von VeltheimLudwig TheuvsenHeinke Heise OriginalPaper Open access 25 September 2021 Pages: 670 - 697
Yield map generation of perennial crops for fresh consumption Claudio Leones BazziMichel Rosin MartinsRicardo Sobjak OriginalPaper 13 September 2021 Pages: 698 - 711
Field evaluations of a deep learning-based intelligent spraying robot with flow control for pear orchards Jaehwi SeolJeongeun KimHyoung Il Son OriginalPaper 19 September 2021 Pages: 712 - 732